{"as_of":"2026-08-05T09:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d0b9b35f9f38b67ac2ea65dafd8f20141470e5fc9984c889eff5e9e0d63502e","coverage":[{"denominator":190,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T00:33:39.960170Z","state":"measured"},{"denominator":101,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":101,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T08:35:09.009897Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-01T08:35:33.345007Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"cited_work":{"arxiv_id":"2604.20366","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.20366","snapshot_observed_at":"2026-07-01T08:35:33.345007Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","venue":"cs.CV","work_id":"4b96d51a-db2b-45cc-8b45-5c56efd3d054","year":2026},"citing_paper":{"arxiv_id":"2606.23695","last_updated":"2026-04-29T15:38:24Z","snapshot_observed_at":"2026-07-29T15:44:55.641561Z","submitted_at":"2026-04-29T15:38:24Z","title":"Quantifying Prior Dominance in RAG Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-01T08:35:09.009897Z"},"links":{"cited_paper":"/paper/2604.20366","citing_paper":"/paper/2606.23695"},"observation_digest":"sha256:a8842b8642339d6a6f33fb87379be19d85e60504888545a51e83cfc4d999bfa0","observation_id":"1ab6df2d-5641-4aa2-b17e-d566fa67eb09","resolution":{"observed_at":"2026-07-01T08:35:33.346377Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2604.20366/citation-record","integrity":"/paper/2604.20366/integrity","json":"/paper/2604.20366/citation-record.json","paper":"/paper/2604.20366"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.350337Z","title":"Aho and Jeffrey D","venue":null,"work_id":"b1f5cb43-a3c7-4ea0-85e7-9ccc9dfe1588","year":1972},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:cfddf0f8c704637ecfde045c1365a7d604029565c3362b30d0eb7a84e8526941","observation_id":"08925db3-74ea-4fe7-b20a-12abb3108fec","resolution":{"observed_at":"2026-05-23T11:07:55.893983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.146752Z","title":null,"venue":null,"work_id":"aca2b566-99e0-4ebb-9c7a-a81219531259","year":1983},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:edfe39b8e60f47f67fbd8481ab76a3f62745093570a8120dd64f88951fd3be1a","observation_id":"efd751a2-16b2-48dd-8ea6-cd659a76113a","resolution":{"observed_at":"2026-05-23T11:07:55.897479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2234.322243","doi":"10.1145/322234.322243","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chandra and Dexter C","venue":"Journal of the ACM","work_id":"c3270592-bd69-4213-95e1-4aaf8312be9b","year":1981},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:c313c3e9553f09a73324b69e89523350f37fce6593edafaa2144ebea21f1e5fb","observation_id":"36b78c72-1d72-493b-81b6-161572aa9a29","resolution":{"observed_at":"2026-05-10T00:34:46.891828Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-18T08:21:12.175602+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T08:21:12.175602+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.206662Z","title":"Scalable training of","venue":null,"work_id":"aef70eae-f816-4598-84ec-429a2c09f5fc","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:64fad581e68b7368129f219779afa6b17e7c7c81253e92c1100f08505c80e43c","observation_id":"15000cf5-5293-41d6-bbae-b39b184521e5","resolution":{"observed_at":"2026-05-23T11:07:55.879800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.062642Z","title":null,"venue":null,"work_id":"852d89f5-1e7b-4296-b4f2-71e578b5e9f6","year":1997},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:400562a8e92393e18f3b05b7af2d69065122321193b95d7ba7215de35254f859","observation_id":"c0b5dbfe-e0ce-41e2-b99d-824277e29a8f","resolution":{"observed_at":"2026-05-23T11:07:55.875833Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.089088Z","title":"Tetreault , title =","venue":null,"work_id":"75f57f43-cb6d-44a9-9cc5-9b8cfc702ea3","year":2015},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:e81cd90978598be371defe3014abe527253cfc9d56a339f2551c9e9dc45cb303","observation_id":"69398311-0b6c-427e-b578-ef93ae0f83fc","resolution":{"observed_at":"2026-05-23T11:07:55.883458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:52.117121Z","title":"A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =","venue":null,"work_id":"6d196829-7173-4c45-aa5c-d0ee30947345","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ed305b327c36a776fb5a727e3610d968f1339ae9163446b7814844f4e88a6c87","observation_id":"25661c6d-4b48-4bf3-9e8c-64c227f188b0","resolution":{"observed_at":"2026-05-23T11:07:55.871695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"6390e59e-cf58-45dc-8a80-b81bf3686563","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ca34d80ad5aaa6d3cfe4aa2d5dd341f51ff963771a7b74c777d943bb2d07222e","observation_id":"56950b54-b0c7-40db-b33e-dc93ad736c46","resolution":{"observed_at":"2026-05-23T11:07:55.886743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"6211859c-2a73-4e97-86f5-a93eb1bb9355","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:160b26673593a7179dc4c8b2ffff23fcdb17d11b943b034c3c1a19c1b3494949","observation_id":"81495f4b-f543-411f-9002-51cf35cd6761","resolution":{"observed_at":"2026-05-23T11:07:55.890235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zou , title =","venue":null,"work_id":"5dbe38cc-1c25-4ba1-af41-f72bddbef38c","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:4921aee260fd84ebe4d6e4c451b636b3285d72cc606f5348c6e4ccee3f6f9905","observation_id":"b6ed47ff-60e3-44d3-8b74-93e5d61a6f9f","resolution":{"observed_at":"2026-05-23T11:07:55.435169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"6b8a825e-0a85-4357-b3aa-0be832ecb771","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:692ce8bbba4a0cef4a7c23e920b1c82ee963a4b804f9d93b427bfed4a9c45da0","observation_id":"a50ae879-fbd1-460e-957b-2e6597b9ab44","resolution":{"observed_at":"2026-05-23T11:07:55.326504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Black Box Few-Shot Adaptation for Vision-Language models , journal =","venue":null,"work_id":"db80a7f5-51b6-4dda-b101-8ac5662abfc2","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:f447f566f9b2b63b946c70aa48f9fce7e4bd4a7df36f68b69b8241346a8b0b6f","observation_id":"08921587-2007-4a36-8b0c-d3ff2f8e9d0c","resolution":{"observed_at":"2026-05-23T11:07:55.311155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ECCV , year =","venue":null,"work_id":"148446cd-58e9-4da5-b8dc-acf28e63b125","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:f803690dfe210620c162b3f7be193aa6e2c0dde7642706802b3099f9253feddf","observation_id":"3e21fd6e-0ab5-494f-9008-41ea2519affa","resolution":{"observed_at":"2026-05-23T11:07:55.497757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ImageNet","venue":null,"work_id":"7b8866fe-3757-44da-a8c7-850cd390d759","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5a57db1c155d89b463d532a7b41115458d3fcc0451f473ae521e86059a64bef7","observation_id":"0b71351f-42a5-4a5b-918a-847e7132c9c6","resolution":{"observed_at":"2026-05-23T11:07:55.792368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , booktitle =","venue":null,"work_id":"3be2facc-a012-4cb6-a8ef-bb1956ef62ff","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:f4ba200f203f433bae7167c383530386d2d0d1727faafa17b3a51486ec4cc47e","observation_id":"5d743c4e-913e-4aba-8ce2-1728d28b3eb7","resolution":{"observed_at":"2026-05-23T11:07:55.831534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"6ecfea5c-9fb4-4390-9afc-a324def36f9b","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:371ff37a8ecb2a50fa5226d2c53b7f57f8c9406cd5cdbc0b56249a71bb9a2fb3","observation_id":"93a836f3-e30b-4240-9d1f-ffd80536edcd","resolution":{"observed_at":"2026-05-23T11:07:55.711085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"48505cd0-1908-4075-9243-befd7184735e","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7089b38876e412e7c6babc44a83765ddf4d0dbc37aae4e5206c153719d7929ac","observation_id":"2218bb55-b8fe-4cc8-9474-cbc1b91aec2c","resolution":{"observed_at":"2026-05-23T11:07:55.746276Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T12:56:15.628748Z","title":"Blaschko and Andrea Vedaldi , title =","venue":null,"work_id":"1591abd3-01ae-4d02-b8ce-7043a1b14e4e","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:25a70b78240b73c1b2d325f58605a822a17455b31a0aa6fe44d702ce848e6141","observation_id":"b35acbd8-de4b-4414-a2aa-7ca6f86f61ae","resolution":{"observed_at":"2026-05-23T11:07:55.816436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Automated Flower Classification over a Large Number of Classes , booktitle =","venue":null,"work_id":"13677786-de91-450d-9af7-906795f68c23","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:e5af2d42e87d15736173e69ccb92bea31904a5b0d49195ed495986a821e91216","observation_id":"899cbee7-8f12-485f-9827-000d52da2909","resolution":{"observed_at":"2026-05-23T11:07:55.655428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ECCV , year =","venue":null,"work_id":"0338ce0a-c524-465a-a11a-932db841da86","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:e07f83b20b5310932f5ca620949fcf2891269afb056865c509076ddc7b6f6c32","observation_id":"5b55ff4d-0caf-4fd3-b662-15ffd734577b","resolution":{"observed_at":"2026-05-23T11:07:55.835375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parkhi and Andrea Vedaldi and Andrew Zisserman and C","venue":null,"work_id":"09dad775-396b-4877-a4c2-0e7132c8c1fd","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5dc92cf186a21cdf342aaccdc9fdf98e9137c5b648c2a2d7eadc4fcd9b0b8a9c","observation_id":"0a71d7e8-babd-42b1-b67c-6d81a481fca3","resolution":{"observed_at":"2026-05-23T11:07:55.770912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3D Object Representations for Fine-Grained Categorization , booktitle =","venue":null,"work_id":"fde4aff1-6235-4952-b727-8aaecbe2863b","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5e1483c7bf2344a2065eeebc5a7a92ccaa4b77a1770e364d992de1adcecf1705","observation_id":"c94a20ab-3d20-4ff2-bd1e-7a20672b8392","resolution":{"observed_at":"2026-05-23T11:07:55.482718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ehinger and Aude Oliva and Antonio Torralba , title =","venue":null,"work_id":"34e7a307-60ba-4cb3-b103-96ec6ad5d5c5","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8f01d95aa0b90b25f10c81cfc50e03e12d7cbfc3a6db364a288e5fe33fb1e328","observation_id":"b838185f-4087-4d22-959c-0dc28dcbe41b","resolution":{"observed_at":"2026-05-23T11:07:55.505283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"5aad404e-73b6-4f7e-91ce-21f01a5bfb92","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:2ba876b1fd6b31d9b1ffc2706802cc86421f95e8ada2a63f28210517c575a58f","observation_id":"5a48cc7d-fcbd-4743-97ef-f4969e89f198","resolution":{"observed_at":"2026-05-23T11:07:55.547159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICML , year =","venue":null,"work_id":"1e595ed6-e1de-4a63-b56d-a6b4d7855cb9","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9b79a5c2df29c42ff09d14af0751dbc5895034bfb8f1e25c710751213364fbfa","observation_id":"aa0f3318-ded2-4dd6-b2e4-b6635dc60d72","resolution":{"observed_at":"2026-05-23T11:07:55.535927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T04:40:40.988733Z","title":"Kingma and Jimmy Ba , title =","venue":null,"work_id":"26f36e0a-9b8a-4967-a62b-d5e5063281be","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:b8601705397d373181322d319bff1a0dc17e49e8ca4ec17fc1653551e08d5ade","observation_id":"57264eaf-0399-4345-8568-f52700ebfcbb","resolution":{"observed_at":"2026-05-23T11:07:55.338824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"0c4d0def-b021-4c9c-9f52-3d911c327151","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:44ff343bab479ef4142f37141d03530ae8bae5d9431a5c4ef5dfd8040166defa","observation_id":"6f417805-b71a-45d3-9d96-06ca4317671b","resolution":{"observed_at":"2026-05-23T11:07:55.381618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"IJCV , volume =","venue":null,"work_id":"f157572d-ea9a-4168-b58f-7016bacc2032","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5853c1361ca31e1768f57f5c4370db984851accb552e20092607d62157e5cfe3","observation_id":"76930317-d711-4fa9-8fac-5d4f34fc11cf","resolution":{"observed_at":"2026-05-23T11:07:55.256153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"154e6f3e-ac75-4cf4-ae79-8d5187aa40f4","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:b22bc8311cb9aba2566f2761fe9c0e81ab18adc48a90729f23f3ce6127d3be70","observation_id":"954199ce-6b2d-4838-a182-e412afaa2ec5","resolution":{"observed_at":"2026-05-23T11:07:55.369771Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Advances in Neural Information Processing Systems , pages=","venue":null,"work_id":"ac9a8bb1-f112-480b-91f7-88696d8f803d","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:335a14d70935f5af71d2e2b7f8f6b55694dd92010035ad81c4d8ea140bfcdc00","observation_id":"6e67b35e-fdb5-4131-9fc8-5a46045b89e3","resolution":{"observed_at":"2026-05-23T11:07:55.290894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year=","venue":null,"work_id":"ea9aedcb-8c7c-4a89-9943-df9ced7cb68c","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:dfae2cf35377822f67c5b40381a94a1251f639c26be40c7c58a131100d15b31c","observation_id":"d6bef43d-7179-403b-92b9-6676a2a77969","resolution":{"observed_at":"2026-05-23T11:07:55.528232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICCV , year=","venue":null,"work_id":"70c49745-3683-4eff-9de3-2f3ec23a7dee","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:79ab0b6c640634e1d71a8db683c1008726a9ccd9e18d0d859cc1ab3178dc0a42","observation_id":"5e5685c4-bcb1-4c85-a93d-5331249d3ee1","resolution":{"observed_at":"2026-05-23T11:07:55.246786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"1ab71c1e-4f82-4ccd-8680-33b9453870c0","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:bff7eeeb17a940bda141137001ed1365393566be89493c6850c3f5bf5ca24727","observation_id":"a26da31f-3450-45db-aab7-4d0dfdec7dc0","resolution":{"observed_at":"2026-05-23T11:07:55.388861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Selvaraju and Akhilesh Gotmare and Shafiq R","venue":null,"work_id":"4090059c-215e-4192-804a-60bf284e2023","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:20d82c8cb545c1725fc68ce3f921ed7cd9467d35f868526d16ea1df0591efc4d","observation_id":"ceedf242-b513-48ae-bb26-2e82cacd4e14","resolution":{"observed_at":"2026-05-23T11:07:55.263655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"a592e15e-ff40-4bb8-a9f7-d79fedc87548","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:6b3a85ad47c2cc6008d2313013672a06b0040cfbc14a0621f3eafca5f32378d4","observation_id":"aaa84fde-8974-42ce-8409-672c6aa3f979","resolution":{"observed_at":"2026-05-23T11:07:55.612637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8bf15e95-e9d0-480d-a42f-aa106da461fa","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:50384a3b5f4c464a9cf6e2e248fbe3495a69bad7ca2aeebc490de560c40b20ed","observation_id":"913d12d5-e080-4ec0-b497-a16f2199fb79","resolution":{"observed_at":"2026-05-23T11:07:55.554839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Flamingo: a Visual Language Model for Few-Shot Learning , booktitle =","venue":null,"work_id":"2e44cce4-fa4e-46d7-a20f-ed0cdd8fe1ce","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:f835d29e357e51fc8e0e36ac006eb1a3d1f461c17432f81b1e78818ddb56837a","observation_id":"f7d3ad30-43dc-4015-badb-9f7c25e5a928","resolution":{"observed_at":"2026-05-23T11:07:55.827714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Open-vocabulary Object Detection via Vision and Language Knowledge Distillation , booktitle =","venue":null,"work_id":"05846684-8aef-434b-b8e7-04a2b19b5aa0","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7adfc6b01cf8f201e50f6571fdb153ef0648776e03ed5fe81830e9cd2f761fce","observation_id":"f8bf7f18-138a-4942-bf23-13499d9fe0f4","resolution":{"observed_at":"2026-05-23T11:07:55.784387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"c64f1bfc-4947-4107-8c4c-4905722b3f72","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:87b2a3fb8464139af4496da44e5b466fec9fdfe21cd56d864ae74661d1999179","observation_id":"a14d8d75-ee19-4a1f-937f-55a61bc0974b","resolution":{"observed_at":"2026-05-23T11:07:55.788446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bermano , title =","venue":null,"work_id":"e0e4a253-b674-40e4-8674-7e95dd071a76","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7cc199ab8931c16884c188d5ad9d76ad63aee390663c3f70e91698b6cb922c63","observation_id":"cef672fb-b1fa-46d4-8d78-d3133f8d6738","resolution":{"observed_at":"2026-05-23T11:07:55.820156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"59a3bc1f-8815-4932-b123-cbb31399118b","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9ffd48bcb12c09f0596f47ef900f361062aa5ecdeac9756727177f34dcbd4446","observation_id":"3cd11227-ac09-4480-9fbb-830039ae0d46","resolution":{"observed_at":"2026-05-23T11:07:55.754329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b5644993-1ed3-4551-82a5-01ac6eae9630","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:1ac76ad3a15a0e2f078229da570d3bbe67cf133edad54cb5d22a2b1330ca17a5","observation_id":"6ebaacdf-3dc5-427f-bcde-1ee34113f900","resolution":{"observed_at":"2026-05-23T11:07:55.738281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b9d173b7-b190-4eff-ad8e-e060cc64686c","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:975eecf7bf901e991135dc8ebd786e970df488b56cd9a7edb5f82caf0a1951ac","observation_id":"6317c704-e355-42f7-b7f5-2fe010f21051","resolution":{"observed_at":"2026-05-23T11:07:55.742453Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"79faad6e-b3ac-4ca9-a172-a869f10a9166","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:02bcaed691f8046978def91605b434153228a8b798cf4b8dfb60da1701215ea4","observation_id":"1a2031a9-1068-449d-9a96-24a1dce220b3","resolution":{"observed_at":"2026-05-23T11:07:55.733737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Connectionist Temporal Fusion for Sign Language Translation , booktitle =","venue":null,"work_id":"66992aa4-bf2a-4fa6-aa3c-38d6edaac2ad","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:daff96c46f426581e5444998f240e8f21ba1edc0f517251b40e6c22d62412160","observation_id":"f147ace6-b3b3-426c-bd7b-4c07bfae957a","resolution":{"observed_at":"2026-05-23T11:07:55.766755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reed and Daniel Walter and Honglak Lee and Bernt Schiele , title =","venue":null,"work_id":"d558a9f6-1ad0-4bcd-adf9-78ee3abfa8a9","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:c744755bb0791c1081f3aa48e9c13c7ac7b8f960bc44b7c08c5343582c7bcd97","observation_id":"86a32bb8-62e3-4762-aa5f-72619c2b58ec","resolution":{"observed_at":"2026-05-23T11:07:55.707060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multimodal Unsupervised Image-to-Image Translation , booktitle =","venue":null,"work_id":"4e12f027-e026-4921-8bcb-4150a42f6a54","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9652aa128824030a6a01b17802468cd5e256c5006c1df68e4b2cfa548090bcd2","observation_id":"7de46273-b88b-49ba-892f-6ea9417a69b5","resolution":{"observed_at":"2026-05-23T11:07:55.715239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Codella and John R","venue":null,"work_id":"8a4649c1-97bc-4b4d-86b7-cc5c7b14a792","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:4df3859c586bde403d81cb8c3326c7966d91e77366c0eacc0adcb47a7671c4ad","observation_id":"59fda9a0-9f11-4f6b-9dec-5e11c18d3d41","resolution":{"observed_at":"2026-05-23T11:07:55.720141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"54fd6e60-364d-4cc6-8be4-842d52781ae2","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:dab027eec577c532c8278e7684747f7067905dced3fd95229c35f7ac1b1ac15e","observation_id":"1b7e4e0c-98ee-41ae-8a46-54c9a4129f98","resolution":{"observed_at":"2026-05-23T11:07:55.724037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Signal Process","venue":null,"work_id":"cfdfe8cf-927e-4e5f-b6bc-c82e4442b3a6","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:d8504cf55224af0bd644faa35aa9cd17063a5deb92ca210329b8f73b9969d2ba","observation_id":"2f47f23c-3d56-48a0-9f8a-c4e882460f22","resolution":{"observed_at":"2026-05-23T11:07:55.698896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"IEEE Transactions on Aerospace and Electronic Systems , pages=","venue":null,"work_id":"8d51b20b-5bc8-4453-a64d-aeb565fcb71a","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:14a0bff64dc97232704dea92f8edf996569bcd11f677a5ed4856a093515352c9","observation_id":"a4607504-2fd8-4f42-aba2-ee60cc92f43c","resolution":{"observed_at":"2026-05-23T11:07:55.690972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Smith and David H","venue":null,"work_id":"e97233ea-a3cf-4469-9155-efb1d1694f21","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ec72d5d2679b8afe9afa8cc6a63b88a54669a12b4b832b6657fd7795d17d8b8f","observation_id":"87954761-702f-4af3-a2a4-756ce936b6ab","resolution":{"observed_at":"2026-05-23T11:07:55.678558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a8fdd08f-7ee7-42ac-9f5a-ba6994f24f08","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:c450329012b780f35e4219e8b82f34a43317c791b2523c25e3a1946be60067e6","observation_id":"eda9f4e0-71d9-460e-a98a-e353d2115767","resolution":{"observed_at":"2026-05-23T11:07:55.674678Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year=","venue":null,"work_id":"81de31f5-4507-4927-8ac2-03d99aca8d38","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:80bba245f7e73baf9d87085d27f1599eedff909c9e15655becaf9d8b32cf2467","observation_id":"67a52ea5-4397-416b-b40f-9ad56e00c919","resolution":{"observed_at":"2026-05-23T11:07:55.682463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICML , year =","venue":null,"work_id":"4f3a26dd-252a-47ce-b813-1960ff503f8a","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:b05d611d34c92508d9e809eab044ae0c7b44513145016f6194c469fda9954975","observation_id":"e455a70d-ecfd-4644-8a78-bcf9db501c88","resolution":{"observed_at":"2026-05-23T11:07:55.686576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"15cd97b7-6e24-48b5-b218-f433fead09cd","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:fb1b4dd7f779c110ac088af2c60e4d68209d22e48a888cee7c2a9278268178dd","observation_id":"48142785-c5cc-4574-93f0-a2dc1cd8b538","resolution":{"observed_at":"2026-05-23T11:07:55.728713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , year =","venue":null,"work_id":"024d6274-ae82-4c03-a013-0b1a660a4077","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7f255a4d9cf31c89a3e1b73acecedfd1e37ed3d3855677e0af9d5b26f3f63a68","observation_id":"e194a3a4-894d-41bb-bc91-fae50fc6d999","resolution":{"observed_at":"2026-05-23T11:07:55.758324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year=","venue":null,"work_id":"eeec81c0-5692-4549-8680-fc23fb4e8509","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:4ea67b8fa9097867a661ce49839b94a0a5703b2c6d35e7fea45722dc13bda533","observation_id":"bf771f32-6e87-41cc-adf2-033642c5f45d","resolution":{"observed_at":"2026-05-23T11:07:55.808214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICLR 2023 Workshop on Multimodal Representation Learning: Perks and Pitfalls , year=","venue":null,"work_id":"b76d565a-3c63-4e5d-8a09-d60d1547c7d0","year":2023},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:2ce56243acf6b71798537e6131ef3e2637c95d6219253fe72e6f314c7485bfe1","observation_id":"da9cb3f8-b72f-4191-bc18-44c7a34b2060","resolution":{"observed_at":"2026-05-23T11:07:55.667007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"5248d17a-fe02-4723-92c4-3121c2ed7fad","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:75bc0458a544ebbe2699d05f79b70081ee880922baebcc3bc63e7c378c6a5772","observation_id":"31f89a45-3b67-4991-8bcd-848ac095f770","resolution":{"observed_at":"2026-05-23T11:07:55.562514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS , year =","venue":null,"work_id":"0d3634c1-d8ef-4891-b3ae-d4c9be05e803","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ab09e26fa0f592af1592bb34dc414dfd7340015530eb63584364b553396b049b","observation_id":"2a8d9f21-3b4d-48bb-885a-2857238cc20a","resolution":{"observed_at":"2026-05-23T11:07:55.520052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICCV , year =","venue":null,"work_id":"5fe58736-4136-4e3b-9fed-70ec024c3239","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7661e23b72c2c3577888703f8bb30faa4cd17bf7a0ff349395e05f6c4d0bdfd1","observation_id":"218f9bf6-df84-4f67-8fe7-facda7411cb7","resolution":{"observed_at":"2026-05-23T11:07:55.250867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Master’s thesis, University of Cambridge , year=","venue":null,"work_id":"98329c9d-8d74-4372-80bf-ec567973aaec","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7ff7a0b2606c8d7451a88e2e186868c50f4dc7b7c080144f2c42202e86302a42","observation_id":"410766a7-e69c-49fd-85b9-c98cbb5d3b03","resolution":{"observed_at":"2026-05-23T11:07:55.267444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"0880b883-eb3b-45e3-8a33-6cc88f64c6e9","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:a2c4f82eee89d82d2366297e1bcf93cda1bdc1ef3318b2d8fe5156e7387a3ec4","observation_id":"4ded1c47-662d-480e-81e6-53c62e3a6c27","resolution":{"observed_at":"2026-05-23T11:07:55.282268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"a61f2cc9-5e28-46bd-963e-87ed30b55e41","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:400f758df8fe7906bbfab4d7be3b5e75efc12eeecae6033b2ee6693b94f1926b","observation_id":"41532e3e-1a09-4336-bebf-1d68c6e8a933","resolution":{"observed_at":"2026-05-23T11:07:55.628596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bfa1387d-8cc5-4152-bad8-807647b2d34c","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9b33af0a23e8e5602de756f97e95c1cd1e11f7c7571a98c6daca97cfc9aed7fb","observation_id":"a11e4000-602c-4047-b3cd-2024e4134d34","resolution":{"observed_at":"2026-05-23T11:07:55.298434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =","venue":null,"work_id":"77eb3d02-7579-4cd3-a6d4-9ed501ebcca0","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8f6d9a9aaab7b8ea48ed674d242a6022fd7e36494153a55573d7bf769c06ee91","observation_id":"b1be07f9-21f6-4a01-8423-626c846aff11","resolution":{"observed_at":"2026-05-23T11:07:55.307255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"author=","venue":null,"work_id":"c9f37979-82e4-4828-bc26-16b2199f00eb","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5711764c139e51e984445627d60bc6b0fe24c07707cdc3015929ffc630f6d62b","observation_id":"35619c4f-971c-43ee-8ed8-6e9a5330a077","resolution":{"observed_at":"2026-05-23T11:07:55.399846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment , journal =","venue":null,"work_id":"1b6bdd47-d73a-4f8f-8d31-7227243ea9c1","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:795684f8dce8cfa9f91489d45a473ef600eb6624eb1576c815249c909d855654","observation_id":"ec0f4e1b-29e6-4c61-856f-70f10167aaf9","resolution":{"observed_at":"2026-05-23T11:07:55.259825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICIP , year =","venue":null,"work_id":"cec3f881-74d6-4138-bc4e-66d867b009fc","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:cc8d3fcf9d667bde0dc1e4794bfa237441321ca4fa20478b5537603628dee0ee","observation_id":"8560d525-552c-4da5-8f22-7f98e2b7b8a3","resolution":{"observed_at":"2026-05-23T11:07:55.426730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"7f9e4181-8e14-453d-9d1f-4d9209ea7498","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8d0498e7fa9e716976d15b099aa2027776d1bf0a03ea3ea452116b10c96ef1c3","observation_id":"02eb87e8-4199-40cc-b346-f97777f7785d","resolution":{"observed_at":"2026-05-23T11:07:55.422831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"AAAI , year =","venue":null,"work_id":"da2d04fb-a121-41b5-beff-4e441f3ac9fe","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:1d09b5cecbc0bdad57b1efe6fe1b9955d117bfbdecf9bf1d3e99b5365ab1d975","observation_id":"f0dff115-26bc-4e26-8c5d-75337a3dac3f","resolution":{"observed_at":"2026-05-23T11:07:55.411115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"44598f5d-f2d2-4f55-b13c-e6d50b6fe779","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:c8f58613038787d838279b946a71b4a49e287672c33de627a228193cde2661dd","observation_id":"dc96e80e-6b54-4cf6-a69e-a868ac7133ff","resolution":{"observed_at":"2026-05-23T11:07:55.361727Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ACL , year =","venue":null,"work_id":"956ba657-db49-4c56-854a-f0bdd1501db1","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:b9226d27a690f966f51ac5b1d96783bc188a1b7497dfa2352e585c2496585505","observation_id":"0f53bbd8-2749-4a9b-bcaa-dca5cf9ae381","resolution":{"observed_at":"2026-05-23T11:07:55.286077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Audioclip: Extending Clip to Image, Text and Audio , booktitle =","venue":null,"work_id":"92abd953-5467-4c96-b976-0d4b258aeb44","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:724141e3782dd0cbf9e424a556ea9699894e725c0d5d85ad32bb57470b758e5a","observation_id":"8238d1de-ffc2-48f0-958a-ac7b1e3d8ff8","resolution":{"observed_at":"2026-05-23T11:07:55.558668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"e93dfe02-c533-4a32-a4f6-883e5ab20602","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ba4de53d813a1ffd5fc47e894a51fefcd251f86c99626622dedeaf6bf9be5128","observation_id":"9bca280c-40c2-4b7e-afb4-24d80161fadf","resolution":{"observed_at":"2026-05-23T11:07:55.670889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Computational Statistics , volume=","venue":null,"work_id":"33673a55-10d3-499e-9064-b97cbaf38286","year":2012},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:5bd773e937498a1567a390310b41275c5d0b25c3fbfcf0a236a59a9207450335","observation_id":"f8f810e6-0364-4924-8234-abc187b866f8","resolution":{"observed_at":"2026-05-23T11:07:55.651118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"80c9a404-7c99-4f14-861b-e72bfaef8aed","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:bebc630de29b727211facb72c90fbca3d90c64b2093f8feed15f2812d11a19bb","observation_id":"592afa66-f18d-4b83-b7e4-06dcbd1661ee","resolution":{"observed_at":"2026-05-23T11:07:55.823967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dusenberry and Xiuye Gu and Yin Cui and Dustin Tran and Jeremiah Zhe Liu and Balaji Lakshminarayanan , title =","venue":null,"work_id":"47965d48-8fc7-4428-ac75-bd0ab2ee1e55","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:38b9f61256289dec7b45d8ef8d365b723fe49151c5a76e4d1a90267c935db8f9","observation_id":"c959ea95-075d-4707-8094-ac5747724fb7","resolution":{"observed_at":"2026-05-23T11:07:55.812431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision , booktitle =","venue":null,"work_id":"72170dd7-25ac-41a7-b370-f0227b08ba91","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:cd273082932ba482efdebcfcb7102f8c0e8d4380ec6cf80b9c3397e4d766f56e","observation_id":"f19f55af-338e-4662-a097-9ebd54f252ba","resolution":{"observed_at":"2026-05-23T11:07:55.551003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4fedd719-bbab-4b74-8141-5cea05016df8","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:fe7df48d52ac1615c23cd3be6c9eb5a2f14d4a9d69b6ffff67b6bd38631327e1","observation_id":"bd35c64c-2d1d-4419-99c2-46244bba85e5","resolution":{"observed_at":"2026-05-23T11:07:55.457548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS , year =","venue":null,"work_id":"f473c0c8-5765-4633-be16-4919dcb920ad","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:28b3518a3219fe5aa9b6daebd422692c4cc97c598a4bbb3bf743ee75ea501e8a","observation_id":"61e07b17-bbbe-4ac9-995f-36236fe6aa4e","resolution":{"observed_at":"2026-05-23T11:07:55.566236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"43ca3aa4-945c-4509-aab4-e8086457059f","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:19269f1453a2b0f6887ec256e5dfe4d330dd8d0b4af4dc5ece09117a85e6661b","observation_id":"971abf84-44c3-45a9-87c0-cd8738c931d3","resolution":{"observed_at":"2026-05-23T11:07:55.294656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICLR , year =","venue":null,"work_id":"2e79ee90-9cc4-461b-b1b6-cf88468b2577","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:e3420f032c82e8d8b2813314b4ff7161c3da2bfdd39988ae2b3cd43b0da19cee","observation_id":"be7774d0-861a-4aeb-8cda-b1d665b949f0","resolution":{"observed_at":"2026-05-23T11:07:55.302799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improving Zero-shot Generalization and Robustness of Multi-Modal Models , booktitle =","venue":null,"work_id":"e9f173fd-409a-487b-afc2-035c527421ee","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:99a290b203d5b209bce688f3342b93e65526b43a25b0920efbc9a11fa8fb8b59","observation_id":"e029b873-3d70-43a6-859d-5840ff28655b","resolution":{"observed_at":"2026-05-23T11:07:55.330720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efros and Moritz Hardt , title =","venue":null,"work_id":"ba2a8245-98cf-46b1-8a62-cee73ca7c4bc","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7b20ed1b8d302d8c90e48d0c18541305459f29b70e34132be789116bbe00f0d7","observation_id":"590e5ddb-e85c-4c08-9d07-c50cd9d153d8","resolution":{"observed_at":"2026-05-23T11:07:55.415124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS , year =","venue":null,"work_id":"4f6a460b-fe6a-4ab3-a9d6-d4e5c1b6ddf3","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8a952b6b0decddbc3b2ac6bacfeafef4a20b1a7e5c44e12ffb8574a73b259b71","observation_id":"6efdbea5-fc21-4359-9d6c-040241089504","resolution":{"observed_at":"2026-05-23T11:07:55.239721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Olshausen and Trevor Darrell , title =","venue":null,"work_id":"ff0a2cb9-4dcf-4317-96fc-4721271103b3","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:ed1c07b244d4ddfcc2d0d93caf3f1c2221188d00a54cfa64a0ec11be3298906a","observation_id":"aa0e9327-6c46-4720-b2d3-606a8bd25f79","resolution":{"observed_at":"2026-05-23T11:07:55.407470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"79363e7f-dcf5-452c-a2e5-3e4964355b38","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:7300189f09ff0b15ac0e34b1277ae31a8ccff05702e3e74e045e95d2af420474","observation_id":"5dad6a55-ed84-4253-a7e9-ee25600e5859","resolution":{"observed_at":"2026-05-23T11:07:55.419027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"NeurIPS , year =","venue":null,"work_id":"2e7154c3-2f39-4ac5-ab6a-96b1ed023b1f","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:64640d886b1eb18313187bbc56d32d2e081954c3d212208afd2493ce1c40eddb","observation_id":"d5c04ba8-2ad6-45e3-9591-05c21a283ee9","resolution":{"observed_at":"2026-05-23T11:07:55.430932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICLR , year =","venue":null,"work_id":"fc1bc9cd-5d6b-4eee-b899-e29f9cc01e9a","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9f551aee395c849d4a09376b181d42e02d0e4000e725152d7c4e00f087ced199","observation_id":"68758b92-f267-4103-88fe-a8c312d8187c","resolution":{"observed_at":"2026-05-23T11:07:55.228758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"248bc267-b019-4b25-ae96-8c1174fa8ad1","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:6164b60d35e2ad76bfaea6fcf6cd24eb4253cc5a6f11b11300f760952761bf52","observation_id":"5c1060c7-68a5-45eb-b5a8-ae3fa0b80a30","resolution":{"observed_at":"2026-05-23T11:07:55.232419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"90afee36-1e8d-4508-9857-3c110b9f6c3d","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8e9b159ac87fc858a06cef6ae53bd663ff7410f2f9b6463131074fa6cb80ae94","observation_id":"6c3ce50f-9b16-49e5-a23f-6d643a837c84","resolution":{"observed_at":"2026-05-23T11:07:55.243344Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ICLR , year =","venue":null,"work_id":"1274c015-3ab9-4149-8637-ba7c984dfd3c","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:1c8b53af68a90850ce883d6747b99bfd26e7ebba7bff2e612bf0e1cca1083c61","observation_id":"35392c63-f4ff-477c-b675-633f698c82d9","resolution":{"observed_at":"2026-05-23T11:07:55.271221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss , booktitle =","venue":null,"work_id":"3d00f386-fd03-4659-854e-68e12f583fd2","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:9b7100c318ba53573d4a33f982c5469fee37cf26560957998fe21704319fd602","observation_id":"36a14313-2668-42ab-b8ca-97e5ee652eae","resolution":{"observed_at":"2026-05-23T11:07:55.322662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3617555b-0f2b-408c-939f-47f80e1bd2d5","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:3d019b9c319c9ebf730a46f6a372fcb6ac13d8d7fd2e858c5ad70ba3672c9cb2","observation_id":"45b62ded-d6e2-4cd6-be2b-f139d8a6640a","resolution":{"observed_at":"2026-05-23T11:07:55.570092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CVPR , year =","venue":null,"work_id":"811ad077-783d-4a45-a9d0-b8c3985db0b7","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:6fbd6cc810186777b41451a1ecb6c8da8537342c711668f447c6a126f4b9db30","observation_id":"cf657bf9-4308-427a-ad47-0f4df11e9bcd","resolution":{"observed_at":"2026-05-23T11:07:55.658945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models , booktitle =","venue":null,"work_id":"7a82c917-8ed5-4c4a-a21f-7a538ba87d29","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:8a9a385e346c397f1c10a8af23ff675b2560ca869bd78ace97a345f09611da10","observation_id":"2c73778f-0e9c-43e6-9775-0097c359d2c7","resolution":{"observed_at":"2026-05-23T11:07:55.797894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Khan , title =","venue":null,"work_id":"a8adefc8-e778-4182-9163-e17dca40b4a1","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:30c42c978a6cee1eea9ba43bbbac72d2b5462029caaa9e365f6af98872394e54","observation_id":"654bbea1-2416-462f-a848-5ee710b2f3e7","resolution":{"observed_at":"2026-05-23T11:07:55.624943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRR , volume =","venue":null,"work_id":"18136f89-b099-47a2-a9ea-fc742669c2b9","year":null},"citing_paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-10T00:33:39.960170Z"},"links":{"citing_paper":"/paper/2604.20366"},"observation_digest":"sha256:1d45231388bc76a57d043fe62bf7856c1974708cab8c87a1b7ec2d8ae836a468","observation_id":"b25f923c-0a3f-48ea-a4c5-c912639c3182","resolution":{"observed_at":"2026-05-23T11:07:55.804170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.20366","last_updated":"2026-04-22T09:02:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:06:49.210284Z","submitted_at":"2026-04-22T09:02:17Z","title":"Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":83},"total_outbound_references":190},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 100 of 190 outbound references and 1 inbound Pith citation observation for arXiv:2604.20366."}